2014
DOI: 10.5194/os-10-135-2014
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Decadal variability of heat content in the South China Sea inferred from observation data and an ocean data assimilation product

Abstract: Abstract. Using an observation data set of temperature and the Simple Ocean Data Assimilation (SODA), the decadal variability of upper ocean heat content (0-400 m; hereafter, OHC) in the South China Sea (SCS) was investigated for the period from 1958 to 2007. Decadal variability was identified as the dominant mode of upper OHC besides the seasonal cycle. According to decreasing or increasing OHC, four periods were chosen to discuss detailed processes behind OHC variability in the SCS; the four periods are

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Cited by 18 publications
(7 citation statements)
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“…The decreasing trend is also closely related to the Pacific Decadal Oscillation index. Song et al (2014) found that the upper layer heat content possesses an increasing trend during our study period. That may indicate that the increasing surface temperature will increase the temperature differences between the atmosphere and ocean, and ultimately increase the release of turbulent heat flux and decrease the Q net .…”
Section: Resultssupporting
confidence: 55%
“…The decreasing trend is also closely related to the Pacific Decadal Oscillation index. Song et al (2014) found that the upper layer heat content possesses an increasing trend during our study period. That may indicate that the increasing surface temperature will increase the temperature differences between the atmosphere and ocean, and ultimately increase the release of turbulent heat flux and decrease the Q net .…”
Section: Resultssupporting
confidence: 55%
“…Smaller marginal seas have also experienced the OHC variations, and pure heaving effect would also be important in the marginal seas if ocean circulation controls isotherm changes over the region [e.g., Song et al ., ]. The linear warming trend of nonseasonal OHC in the East/Japan Sea (EJS) was shown to be about two times higher than those in the global and Pacific Oceans according to Na et al .…”
Section: Introductionmentioning
confidence: 99%
“…The SODA reanalysis was originally made to produce a comprehensive dataset for the oceans using existing local observations and numerical model simulations (Carton and Giese, ). The SODA data are used in the estimation of OHC over other oceans with good accuracy (Song et al ., ). The new version of SODA was used in this analysis as it was forced by the MERRA dataset.…”
Section: Methodsmentioning
confidence: 99%